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Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019
Background: Malaria continues to be a major public health problem in Malawi and the greatest load of mortality and morbidity occurs in children five years and under. However, there is no information yet regarding trends and predictions of malaria incidence in children five years and under at distric...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657219/ https://www.ncbi.nlm.nih.gov/pubmed/34886507 http://dx.doi.org/10.3390/ijerph182312784 |
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author | Gondwe, Theodore Yang, Yongi Yosefe, Simeon Kasanga, Maisa Mulula, Griffin Luwemba, Mphatso Prince Jere, Annie Daka, Victor Mudenda, Tobela |
author_facet | Gondwe, Theodore Yang, Yongi Yosefe, Simeon Kasanga, Maisa Mulula, Griffin Luwemba, Mphatso Prince Jere, Annie Daka, Victor Mudenda, Tobela |
author_sort | Gondwe, Theodore |
collection | PubMed |
description | Background: Malaria continues to be a major public health problem in Malawi and the greatest load of mortality and morbidity occurs in children five years and under. However, there is no information yet regarding trends and predictions of malaria incidence in children five years and under at district hospital level, particularly at Nsanje district hospital. Aim: Therefore, this study aimed at investigating the trends of malaria morbidity and mortality in order to design appropriate interventions on the best approach to contain the disease in the near future. Methodology: Trend analysis of malaria morbidity and mortality together with time series analysis using the SARIMA (Seasonal Autoregressive Integrated Moving Average) model was used to predict malaria incidence in Nsanje district. Results: The SARIMA model used malaria cases from 2015 to 2019 and created the best model to forecast the malaria cases in Nsanje from 2020 to 2022. An SARIMA (0, 1, 2) (0,1,1)(12) was suitable for forecasting the incidence of malaria for Nsanje. Conclusion: The mortality and morbidity trend showed that malaria cases were growing at a fluctuating rate at Nsanje district hospital. The relative errors between the actual values and predicted values indicated that the predicted values matched the actual values well. Therefore, the model proved that it was adequate to forecast monthly malaria cases and it had a good fit, hence, was appropriate for this study |
format | Online Article Text |
id | pubmed-8657219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86572192021-12-10 Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 Gondwe, Theodore Yang, Yongi Yosefe, Simeon Kasanga, Maisa Mulula, Griffin Luwemba, Mphatso Prince Jere, Annie Daka, Victor Mudenda, Tobela Int J Environ Res Public Health Article Background: Malaria continues to be a major public health problem in Malawi and the greatest load of mortality and morbidity occurs in children five years and under. However, there is no information yet regarding trends and predictions of malaria incidence in children five years and under at district hospital level, particularly at Nsanje district hospital. Aim: Therefore, this study aimed at investigating the trends of malaria morbidity and mortality in order to design appropriate interventions on the best approach to contain the disease in the near future. Methodology: Trend analysis of malaria morbidity and mortality together with time series analysis using the SARIMA (Seasonal Autoregressive Integrated Moving Average) model was used to predict malaria incidence in Nsanje district. Results: The SARIMA model used malaria cases from 2015 to 2019 and created the best model to forecast the malaria cases in Nsanje from 2020 to 2022. An SARIMA (0, 1, 2) (0,1,1)(12) was suitable for forecasting the incidence of malaria for Nsanje. Conclusion: The mortality and morbidity trend showed that malaria cases were growing at a fluctuating rate at Nsanje district hospital. The relative errors between the actual values and predicted values indicated that the predicted values matched the actual values well. Therefore, the model proved that it was adequate to forecast monthly malaria cases and it had a good fit, hence, was appropriate for this study MDPI 2021-12-03 /pmc/articles/PMC8657219/ /pubmed/34886507 http://dx.doi.org/10.3390/ijerph182312784 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gondwe, Theodore Yang, Yongi Yosefe, Simeon Kasanga, Maisa Mulula, Griffin Luwemba, Mphatso Prince Jere, Annie Daka, Victor Mudenda, Tobela Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 |
title | Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 |
title_full | Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 |
title_fullStr | Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 |
title_full_unstemmed | Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 |
title_short | Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019 |
title_sort | epidemiological trends of malaria in five years and under children of nsanje district in malawi, 2015–2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657219/ https://www.ncbi.nlm.nih.gov/pubmed/34886507 http://dx.doi.org/10.3390/ijerph182312784 |
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